Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.
Learners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material.
Topics include:
~Set theory, including Venn diagrams
~Properties of the real number line
~Interval notation and algebra with inequalities
~Uses for summation and Sigma notation
~Math on the Cartesian (x,y) plane, slope and distance formulas
~Graphing and describing functions and their inverses on the x-y plane,
~The concept of instantaneous rate of change and tangent lines to a curve
~Exponents, logarithms, and the natural log function.
~Probability theory, including Bayes’ theorem.
While this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, "Mastering Data Analysis in Excel," which is part of the Excel to MySQL Data Science Specialization. Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in "Mastering Data Analysis in Excel."
Good luck and we hope you enjoy the course!...

Jan 12, 2019

Effective way to refresh and add the Data Science math skills! Thanks a lot! At the time of the study some of the quizzes content were not rendering correctly on mobile devices (both iPad and Android)

Jul 23, 2017

This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.

篩選依據：

創建者 Josiah D

•Sep 02, 2017

Excellent course.

創建者 Tatini v p

•Dec 31, 2017

VERY USEFUL

創建者 Prince B

•Apr 01, 2018

Amazing Course and amazing Teachers

創建者 Skylor L B

•Oct 23, 2017

Very understanding

創建者 Sreedeep M

•Nov 23, 2017

Thanks for boosting my confidence.

創建者 SYED M S

•Dec 25, 2017

Nice Course!

創建者 Lau C C C

•Apr 21, 2018

thank you very much

創建者 Lesly A F

•Aug 14, 2017

Great course to refresh your Math Basics

創建者 Ainura

•Nov 02, 2017

Thank you, this was a very helpful course.

創建者 Felipe C

•Jun 13, 2017

Cool, objective course!

創建者 liqiang

•Feb 13, 2018

This should be my first most completed course on Coursera, although the last quiz overdue. Probability is hard to me, so I've learned a lot during this course, thanks!

創建者 David A S J

•Jun 18, 2017

Very good course to remember thing about math

創建者 Georgios P

•May 07, 2017

Good introductory course to build the fundamental knowledge needed to go further.

創建者 Garth Z

•Mar 11, 2017

If you are a right-brainer and/or rusty on math, I strongly recommend this course as a precursor to Duke's Intro to Probability and Data course. Some of the practice and final quiz questions really threw me (and that's good)... Most of them I was able to rethink and derive the correct answer and a few others remain a mystery... :-)

創建者 Venkata K V M

•Jul 03, 2017

Good for Beginners.

創建者 黄杜煜

•Feb 11, 2018

A useful course with all basic math knowledge you should have!

創建者 Amanda

•Jun 11, 2017

the first three part is a little too easy

創建者 Murali M A

•Aug 27, 2017

Succinct explanation of the basics. Take more time at the Bayes theorem. It is worth it. Work out all the problems and keep reading the PDF notes accompanied with the videos. All in all, a great experience for those who have missed some basic math in earlier education. I am onward to my next course in machine learning and data science. Cheers

創建者 Rajesh S B

•Aug 19, 2017

Very well structured course for beginners. My fav is week 4

創建者 Rami A T

•Mar 05, 2017

Very important Review course

創建者 Akhlaq A

•Apr 06, 2018

Excellent

創建者 Laurent B

•Jun 19, 2017

While most of material is well known, it is presented in a great way, so it is a clean and smart refresher for Sets, basic Algebra and notations, Cartesian geometry and functions, and derivatives. I knew the material about logarithms, exponentials and probabilities, but I felt that I knew it better in the end of this courses. Material is great, and teachers are very clear. I wish they came with more material about calculus (matrices), vector spaces, Lagrangian, Hessian and so on, which are also really interesting in Data Sciences.

創建者 Konstantin K

•Oct 26, 2017

Compact but clear and informative!

創建者 Sidhardh M

•Jun 23, 2017

good one

創建者 Venkat N

•Oct 04, 2017

Excellent Course. Must-do course for beginners in data science. Great instructors